NDLI: Adaptive SNR estimation based decoding algorithm for block turbo codes

Content Provider	IEEE Xplore Digital Library
Author	Xingcheng Liu Kang Wang
Copyright Year	2009
Description	Author affiliation: Department of Electronic and Communications Engineering School of Information Science and Technology, Sun Yat-sen University Guangzhou, Guangdong, 510275, China (Xingcheng Liu; Kang Wang)
Abstract	The SNR values in conventional Turbo decoding with the adaptive Chase algorithm are pre-fixed, which is not practical in applications. To get rid of the deficiency, a novel decoding algorithm for block Turbo codes was proposed, in which the channel levels of different SNR values were adaptively estimated. The proposed algorithm could tune the decoding complexity by using the relationship between the statistics of the received vectors and the channel SNR values in order to change the threshold function. Simulation results show that the proposed algorithm decreases the decoding complexity, speeds up the decoding process while achieving better BER performance. Furthermore, the proposed decoding algorithm can adapt to different SNR values without pre-fixing them.
Starting Page	1
Ending Page	6
File Size	291574
Page Count	6
File Format	PDF
ISBN	9781424443376
DOI	10.1109/CHINACOM.2009.5339711
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convolutional codes signal-to-noise ratio (SNR) Error analysis Bit error rate bit error rate (BER) Sun Statistics Iterative decoding Maximum likelihood decoding Chase algorithm Information science block Turbo codes (BTC) iterative decoding Turbo codes Iterative algorithms
Content Type	Text
Resource Type	Article

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